Superimposed Training Combined Approach for a Reduced Phase of Spectrum Sensing in Cognitive Radio

This paper presents an approach to exploit the superimposed training (ST)-based primary users’ (PUs) transmissions in the context of spectrum sensing for cognitive radio. In the low signal-to-noise ratio (SNR), the proposed scheme splits the spectrum sensing phase into two sample processing periods,...

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Detalles Bibliográficos
Autores principales: Lopez-Lopez, Lizeth, Cardenas-Juarez, Marco, Stevens-Navarro, Enrique, Pineda-Rico, Ulises, Arce, Armando, Orozco-Lugo, Aldo G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604072/
https://www.ncbi.nlm.nih.gov/pubmed/31141882
http://dx.doi.org/10.3390/s19112425

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